https://github.com/1173710224/link-prediction-with-rule-based-reasoning
공식 코드EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective
Papers with Code 아카이브
Knowledge Graph Completion
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Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/3b-group/convre
공식 코드An Investigation of LLMs' Inefficacy in Understanding Converse Relations
https://github.com/763337092/LP-BERT
공식 코드Multi-task Pre-training Language Model for Semantic Network Completion
https://github.com/AKSW/KG2Vec
공식 코드https://github.com/Adam1679/ConnectE
공식 코드https://github.com/AnselCmy/FedE
공식 코드https://github.com/ArchitParnami/Node2KG
공식 코드Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
https://github.com/AynurGuluzade/DARLING
공식 코드Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
https://github.com/BorealisAI/DE-SimplE
공식 코드Diachronic Embedding for Temporal Knowledge Graph Completion
https://github.com/CunchaoZ/CyGNet
공식 코드Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
https://github.com/DeMix2023/Demix
공식 코드Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding
https://github.com/DeepGraphLearning/NBFNet
공식 코드Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
https://github.com/DeepGraphLearning/ULTRA
공식 코드https://github.com/DominikFilipiak/KGTN-ens
공식 코드KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
https://github.com/HELL-TO-HEAVEN/KGE-CL
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/HKUST-KnowComp/FKGE
공식 코드https://github.com/HarryShomer/Better-Inductive-KGC
공식 코드Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
https://github.com/JiapengWu/TeMP
공식 코드TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
https://github.com/JiapengWu/Time-Aware-Incremental-Embedding
공식 코드TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
https://github.com/JiaweiSheng/FAAN
공식 코드Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
https://github.com/JinheonBaek/GEN
공식 코드Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
https://github.com/Juanhui28/Are_MPNNs_helpful
공식 코드Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
https://github.com/KRR-Oxford/DeepOnto
공식 코드Contextual Semantic Embeddings for Ontology Subsumption Prediction
https://github.com/KokiKishimoto/cp_decomposition
공식 코드https://github.com/KokiKishimoto/cp_decomposition_alpha
공식 코드https://github.com/LemonNoel/ATransN
공식 코드An Adversarial Transfer Network for Knowledge Representation Learning
https://github.com/LivNLP/Relational-Walk-for-Knowledge-Graphs
공식 코드RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
https://github.com/MIRALab-USTC/KGE-DURA
공식 코드Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
https://github.com/MIRALab-USTC/KGE-HAKE
공식 코드Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/Maxpa1n/gcplm-kgc
공식 코드Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
https://github.com/NIVA-Knowledge-Graph/TERA
공식 코드Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
https://github.com/OSU-NLP-Group/KG-R3
공식 코드A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
https://github.com/OUTHIM/power-link
공식 코드https://github.com/Panda0406/Zero-shot-knowledge-graph-relational-learning
공식 코드Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
https://github.com/Peter7Yao/OPTransE
공식 코드Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
https://github.com/PlusRoss/Hy-Transformer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.